Network resource allocation of e-learning videos for scalable video delivery using content-based compression
by Amit Pande, Amit Verma, Ankush Mittal, Ashish Agrawal
International Journal of Signal and Imaging Systems Engineering (IJSISE), Vol. 2, No. 3, 2009

Abstract: Multimedia QoS is a big concern, especially for the scarce resource networks. This paper deals with the issue of intelligent transmission of important segments of the video sequence over the network. An estimate of the available network bandwidth is obtained, which is then distributed optimally between the different frame constituents based on their relative importance and motion by the bandwidth allocation module. Colour Embedded Zerotree Wavelet (CEZW) coding is used to obtain a scalable bitstream that provides dynamic response to changing network conditions. This scheme is robust and operational for all low motion videos with identifiable VOs.

Online publication date: Tue, 29-Jun-2010

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